| Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control F Rodríguez, A Fleetwood, A Galarza, L Fontán Renewable energy 126, 855-864, 2018 | 277 | 2018 |
| Very short-term wind power density forecasting through artificial neural networks for microgrid control F Rodríguez, AM Florez-Tapia, L Fontán, A Galarza Renewable energy 145, 1517-1527, 2020 | 71 | 2020 |
| Ensemble of machine learning and spatiotemporal parameters to forecast very short-term solar irradiation to compute photovoltaic generators’ output power F Rodríguez, F Martín, L Fontán, A Galarza Energy 229, 120647, 2021 | 47 | 2021 |
| Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control F Rodríguez, A Galarza, JC Vasquez, JM Guerrero Energy 239, 122116, 2022 | 43 | 2022 |
| Forecasting intra-hour solar photovoltaic energy by assembling wavelet based time-frequency analysis with deep learning neural networks F Rodríguez, I Azcárate, J Vadillo, A Galarza International Journal of Electrical Power & Energy Systems 137, 107777, 2022 | 36 | 2022 |
| An analysis of different deep learning neural networks for intra-hour solar irradiation forecasting to compute solar photovoltaic generators' energy production G Etxegarai, A López, N Aginako, F Rodríguez Energy for Sustainable Development 68, 1-17, 2022 | 31 | 2022 |
| Very short-term temperature forecaster using MLP and N-nearest stations for calculating key control parameters in solar photovoltaic generation F Rodríguez, M Genn, L Fontán, A Galarza Sustainable Energy Technologies and Assessments 45, 101085, 2021 | 27 | 2021 |
| Ensemble forecaster based on the combination of time-frequency analysis and machine learning strategies for very short-term wind speed prediction F Rodríguez, S Alonso-Pérez, I Sánchez-Guardamino, A Galarza Electric Power Systems Research 214, 108863, 2023 | 14 | 2023 |
| Very short-term load forecaster based on a neural network technique for smart grid control F Rodríguez, F Martín, L Fontán, A Galarza Energies 13 (19), 5210, 2020 | 14 | 2020 |
| Non-intrusive, self-supplying and wireless sensor for monitoring grounding cable in smart grids F Rodriguez, I Sanchez-Guardamino, F Martin, L Fontan Sensors and Actuators A: Physical 316, 112417, 2020 | 9 | 2020 |
| Novel modular device for a decentralised electric power system architecture for more electric aircraft G Martínez, FR Lalanne, I Sánchez-Guardamino, SR Benito, ... IEEE Access 10, 19356-19364, 2022 | 7 | 2022 |
| A very short-term probabilistic prediction interval forecaster for reducing load uncertainty level in smart grids F Rodríguez, N Bazmohammadi, JM Guerrero, A Galarza Applied Sciences 11 (6), 2538, 2021 | 6 | 2021 |
| Increasing the safety of more electric aircraft through a novel algorithm in the DC power system F Rodríguez, G Martínez, S Rodríguez, JM Echeverría International Journal of Electrical Power & Energy Systems 126, 106566, 2021 | 6 | 2021 |
| Very short-term parametric ambient temperature confidence interval forecasting to compute key control parameters for photovoltaic generators F Rodríguez, X Insausti, G Etxezarreta, A Galarza, JM Guerrero Sustainable Energy Technologies and Assessments 51, 101931, 2022 | 4 | 2022 |
| Algorithm for the Optimal Design of a Fault-Tolerant Aircraft Power Transmission Network M Zárraga-Rodríguez, X Insausti, FR Lalanne, J Velasco, ... IEEE Transactions on Transportation Electrification 8 (4), 4219-4228, 2022 | 1 | 2022 |
| Optimization of a solar irradiation forecasting tool based on artificial intelligence F Rodríguez, A Galarza, L Fontán 17th Intern. Conf. on Renewable Energies and Power Quality, 2019 | 1 | 2019 |
| Estudio de medidas para el ahorro enegético y económico en varios edificios de la administración. F Rodríguez-Lalanne | | 2016 |
Ainhoa GalarzaResearcher, CeitVerified email at ceit.es
